iPhone 17 Pro Max
Geekbench AI Score
5199
Single Precision Score
8509
Half Precision Score
6696
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 08:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3803
707.2 IPS |
|
|
Image Classification (Q)
|
96% |
2529
472.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3471
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10931
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19581
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16618
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
97% |
4267
339.7 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4638
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8564
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4513
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14453
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10269
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25097
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39429
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32269
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6162
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9679
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9534
164.8 IPS |
